Identifying motorcycle high-risk traffic scenarios through interactive analysis of driver behavior and traffic characteristics

Transportation Research Part F: Traffic Psychology and Behaviour

Volumn 62, Issue , 2019, Pages 844-854

  Chang, Fangrong ^a   Xu, Pengpeng ^b   Zhou, Hanchu ^a   Lee, Jaeyoung ^c   Huang, Helai ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

^c University of Central Florida   (United States)

Author keywords

Data mining technique; Illegal driving behavior; Injury outcomes; Motorcycle crashes

Indexed keywords

ACCIDENT PREVENTION; BEHAVIORAL RESEARCH; CLASSIFICATION (OF INFORMATION); CRIME; DATA MINING; HUMAN COMPUTER INTERACTION; HUMAN ENGINEERING; MOTORCYCLES; RISK ASSESSMENT; RISK MANAGEMENT; RISK PERCEPTION; TREES (MATHEMATICS);

CLASSIFICATION AND REGRESSION TREE; DRIVING BEHAVIOR; ENVIRONMENTAL FACTORS; HUNAN PROVINCE , CHINA; INJURY OUTCOMES; MOTORCYCLE CRASHES; RELATIVE CONTRIBUTION; TRAFFIC CHARACTERISTICS;

ACCIDENTS;

EID: 85063678668     PISSN: 13698478     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trf.2019.03.010     Document Type: Article

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